Machine-learning interatomic potentials for materials science

11 Feb 2021 Y. Mishin

Large-scale atomistic computer simulations of materials rely on interatomic potentials providing computationally efficient predictions of energy and Newtonian forces. Traditional potentials have served in this capacity for over three decades... (read more)

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  • MATERIALS SCIENCE